{"id":"W3117274514","doi":"","title":"Canadian Drought Research and its Contributions to Sustainable Development in Western Canada","year":2009,"lang":"en","type":"article","venue":"AGU Spring Meeting Abstracts","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Sustainable development; Political science; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001323859,0.00009666416,0.0001251747,0.0001377168,0.000464988,0.00004171242,0.0001719296,0.00007097064,0.00003348097],"category_scores_gemma":[0.0004238031,0.0001039154,0.000008825261,0.0004807924,0.0000246684,0.0001137459,0.00008752551,0.0002549409,0.0001039993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001904121,"about_ca_system_score_gemma":0.0004777643,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9905443,"about_ca_topic_score_gemma":0.9992985,"domain_scores_codex":[0.9983271,0.00005312061,0.0002234935,0.0002984202,0.0002628521,0.000835005],"domain_scores_gemma":[0.9993038,0.00009104191,0.00002929297,0.000127536,0.00003710358,0.0004112437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001683435,0.00007248762,0.9441687,0.00001298355,0.00001714008,0.00134482,0.001569818,0.04800346,0.001877207,0.0003617561,0.001184255,0.001370463],"study_design_scores_gemma":[0.0001285756,0.00002135887,0.9607305,0.00002909263,0.000003157682,0.000004081791,0.0001596297,0.0001287448,0.003836288,0.0001455214,0.03466227,0.0001508103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803525,0.00005755508,0.000002015452,0.004687476,0.00001944039,0.000145333,0.000001342905,0.00001107364,0.01472323],"genre_scores_gemma":[0.9972501,0.000003649928,0.0001499586,0.0004393257,0.00001872844,0.000009242654,0.000002159896,0.000004888557,0.002121941],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04787472,"threshold_uncertainty_score":0.4979211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01235447503789468,"score_gpt":0.2654110976154765,"score_spread":0.2530566225775818,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}